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Deeply researched, technical interviews with experts thinking about AI and technology.
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2025 in AI, with Nathan Benaich
Episode 144 Happy New Year! This is one of my favorite episodes of the year — for the fourth time, Nathan Benaich (https://open.substack.com/users/866763-nathan-benaich?utm_source=mentions) and I did our yearly roundup of AI news and advanc
Iason Gabriel: Value Alignment and the Ethics of Advanced AI Systems
Episode 143 I spoke with Iason Gabriel (https://www.iasongabriel.com/) about: * Value alignment * Technology and worldmaking * How AI systems affect individuals and the social world Iason is a philosopher and Senior Staff Research Scientist
2024 in AI, with Nathan Benaich
Episode 142 Happy holidays! This is one of my favorite episodes of the year — for the third time, Nathan Benaich (https://substack.com/profile/866763-nathan-benaich) and I did our yearly roundup of all the AI news and advancements you need
Philip Goff: Panpsychism as a Theory of Consciousness
Episode 141 I spoke with Professor Philip Goff (https://x.com/Philip_Goff) about: * What a “post-Galilean” science of consciousness looks like * How panpsychism helps explain consciousness and the hybrid cosmopsychist view Enjoy! Philip Gof
Some Changes at The Gradient
Hi everyone! If you’re a new subscriber or listener, welcome. If you’re not new, you’ve probably noticed that things have slowed down from us a bit recently. Hugh Zhang (https://substack.com/profile/3550791-hugh-zhang), Andrey Kurenkov (htt
Jacob Andreas: Language, Grounding, and World Models
Episode 140 I spoke with Professor Jacob Andreas (https://x.com/jacobandreas) about: * Language and the world * World models * How he’s developed as a scientist Enjoy! Jacob is an associate professor at MIT in the Department of Electrical E
Evan Ratliff: Our Future with Voice Agents
Episode 139 I spoke with Evan Ratliff about: * Shell Game (https://open.substack.com/pub/shellgame), Evan’s new podcast, where he creates an AI voice clone of himself and sets it loose. * The end of the Longform Podcast and his thoughts on
Meredith Ringel Morris: Generative AI's HCI Moment
Episode 138 I spoke with Meredith Morris (https://x.com/merrierm) about: * The intersection of AI and HCI and why we need more cross-pollination between AI and adjacent fields * Disability studies and AI * Generative ghosts and technologica
Davidad Dalrymple: Towards Provably Safe AI
Episode 137 I spoke with Davidad Dalrymple (https://x.com/davidad) about: * His perspectives on AI risk * ARIA (the UK’s Advanced Research and Invention Agency) and its Safeguarded AI Programme Enjoy—and let me know what you think! Davidad
Clive Thompson: Tales of Technology
Episode 136 I spoke with Clive Thompson (https://x.com/pomeranian99) about: * How he writes * Writing about the climate and biking across the US * Technology culture and persistent debates in AI * Poetry Enjoy—and let me know what you think
Judy Fan: Reverse Engineering the Human Cognitive Toolkit
Episode 136 I spoke with Judy Fan (https://x.com/judyefan) about: * Our use of physical artifacts for sensemaking * Why cognitive tools can be a double-edged sword * Her approach to scientific inquiry and how that approach has developed Enj
L.M. Sacasas: The Questions Concerning Technology
Episode 135 I spoke with L. M. Sacasas (https://substack.com/profile/1810437-l-m-sacasas) about: * His writing and intellectual influences * The value of asking hard questions about technology and our relationship to it * What happens when
Pete Wolfendale: The Revenge of Reason
Episode 134 I spoke with Pete Wolfendale (https://twitter.com/deontologistics) about: * The flaws in longtermist thinking * Selections from his new book, The Revenge of Reason * Metaphysics * What philosophy has to say about reason and AI E
Peter Lee: Computing Theory and Practice, and GPT-4's Impact
Episode 133 I spoke with Peter Lee (https://en.wikipedia.org/wiki/Peter_Lee_(computer_scientist)) about: * His early work on compiler generation, metacircularity, and type theory * Paradoxical problems * GPT-4s impact, Microsoft’s “Sparks o
Manuel & Lenore Blum: The Conscious Turing Machine
Episode 132 I spoke with https://en.wikipedia.org/wiki/Manuel_Blum and Lenore Blum (https://en.wikipedia.org/wiki/Lenore_Blum) about: * Their early influences and mentors * The Conscious Turing Machine and what theoretical computer science
Kevin Dorst: Against Irrationalist Narratives
Episode 131 I spoke with Professor Kevin Dorst (https://x.com/kevin_dorst) about: * Subjective Bayesianism and epistemology foundations * What happens when you’re uncertain about your evidence * Why it’s rational for people to polarize on p
David Pfau: Manifold Factorization and AI for Science
Episode 130 I spoke with David Pfau (https://twitter.com/pfau) about: * Spectral learning and ML * Learning to disentangle manifolds and (projective) representation theory * Deep learning for computational quantum mechanics * Picking and pu
Dan Hart and Michelle Michael: Bringing AI to Students in New South Wales
Episode 129 I spoke with Dan Hart (https://www.linkedin.com/in/dhsydney) and Michelle Michael (https://au.linkedin.com/in/michelle-michael-8074233a) about: * Developing NSWEduChat (https://education.nsw.gov.au/teaching-and-learning/educatio
Kristin Lauter: Private AI, Homomorphic Encryption, and AI for Cryptography
Episode 129 I spoke with Kristin Lauter (https://en.wikipedia.org/wiki/Kristin_Lauter) about: * Elliptic curve cryptography and homomorphic encryption * Standardizing cryptographic protocols * Machine Learning on encrypted data * Attacking
Sergiy Nesterenko: Automating Circuit Board Design
Episode 128 I spoke with Sergiy Nesterenko (https://twitter.com/sergiynest) about: * Developing an automated system for designing PCBs * Difficulties in human and automated PCB design * Building a startup at the intersection of different ar
C. Thi Nguyen: Values, Legibility, and Gamification
Episode 127 I spoke with Christopher Thi Nguyen (https://x.com/add_hawk) about: * How we lose control of our values * The tradeoffs of legibility, aggregation, and simplification * Gamification and its risks Enjoy—and let me know what you t
Vivek Natarajan: Towards Biomedical AI
Episode 126 I spoke with Vivek Natarajan (https://x.com/vivnat) about: * Improving access to medical knowledge with AI * How an LLM for medicine should behave * Aspects of training Med-PaLM and AMIE * How to facilitate appropriate amounts o
Thomas Mullaney: A Global History of the Information Age
Episode 125 False universalism freaks me out. It doesn’t freak me out as a first principle because of epistemic violence; it freaks me out because it works. I spoke with Professor Thomas Mullaney (https://twitter.com/tsmullaney) about: * Te
Seth Lazar: Normative Philosophy of Computing
Episode 124 You may think you’re doing a priori reasoning, but actually you’re just over-generalizing from your current experience of technology. I spoke with Professor Seth Lazar (https://twitter.com/sethlazar) about: * Why managing near-t
Suhail Doshi: The Future of Computer Vision
Episode 123 I spoke with Suhail Doshi (https://twitter.com/Suhail?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor) about: * Why benchmarks aren’t prepared for tomorrow’s AI models * How he thinks about artists in a world with advance
Azeem Azhar: The Exponential View
Episode 122 I spoke with Azeem Azhar about: * The speed of progress in AI * Historical context for some of the terminology we use and how we think about technology * What we might want our future to look like Azeem is an entrepreneur, inves
David Thorstad: Bounded Rationality and the Case Against Longtermism
Episode 122 I spoke with Professor David Thorstad (https://x.com/DavidThorstad) about: * The practical difficulties of doing interdisciplinary work * Why theories of human rationality should account for boundedness, heuristics, and other co
Ryan Tibshirani: Statistics, Nonparametric Regression, Conformal Prediction
Episode 121 I spoke with Professor Ryan Tibshirani (https://www.stat.berkeley.edu/~ryantibs/) about: * Differences between the ML and statistics communities in scholarship, terminology, and other areas. * Trend filtering * Why you can’t jus
Sasha Luccioni: Connecting the Dots Between AI's Environmental and Social Impacts
In episode 120 of The Gradient Podcast, Daniel Bashir (https://twitter.com/spaniel_bashir) speaks to Sasha Luccioni. Sasha is the AI and Climate Lead at HuggingFace, where she spearheads research, consulting, and capacity-building to elevat
Michael Sipser: Problems in the Theory of Computation
In episode 119 of The Gradient Podcast, Daniel Bashir (https://twitter.com/spaniel_bashir) speaks to Professor Michael Sipser (https://math.mit.edu/~sipser/). Professor Sipser is the Donner Professor of Mathematics and member of the Compute
